Moving objects detection algorithm with self-adaptive background screening
Ce Shi · Jisuanji gongcheng yu sheji · 2012
To improve the accuracy of the traditional coterminous frame differencing method and background subtraction method in moving objects detection.A moving objects detection algorithm with self-adaptive background screening is proposed.The area is marked,where the moving object exist in the graph,on the background in the process of constructing background model through the coterminous frame differencing method,.Background is screened that haven't marked in the current area of moving object and the most close to the present moment,extract the foreground's moving target.Compared with the traditional method which combine the coterminous frame differencing and background subtraction,the proposed algorithm is more good at deal with the matter,which detection is not accurate due to moving objects.It's simple and easy to,satisfy the requirements in real-time monitoring.Experimental results verify the effectiveness of the algorithm.